Titlebar

Bibliographische Daten exportieren
Literatur vom gleichen Autor
plus im Publikationsserver
plus bei Google Scholar

Lesezeichen anlegen
 

Computing spatially distributed sediment delivery ratios : Inferring functional sediment connectivity from repeat high-resolution Digital Elevation Models

Titelangaben

Verfügbarkeit überprüfen

Heckmann, Tobias ; Vericat, Damià:
Computing spatially distributed sediment delivery ratios : Inferring functional sediment connectivity from repeat high-resolution Digital Elevation Models.
In: Earth surface processes and landforms : the journal of the British Geomorphological Research Group. Bd. 43 (2018) Heft 7. - S. 1547-1554.
ISSN 0197-9337 ; 1096-9837

Volltext

Link zum Volltext (externe URL): https://doi.org/10.1002/esp.4334

Kurzfassung/Abstract

High-resolution digital elevation models (DEMs) from repeat LiDAR or SfM surveys have become an important tool in process geomorphology. The spatial pattern of negative and positive changes of surface elevation on raster DEMs of difference (DoD) can be interpreted in terms of geomorphic processes, and has been used for morphological budgeting. We show how the application of flow routing algorithms and flow accumulation opens new opportunities for the analysis of DoD. By accumulating the values of the DoD along downslope flowpaths delineated on a DEM, these algorithms lend themselves to computing the net balance, i.e. sediment yield (SY), for the contributing area of each cell. Doing the same for the negative subset of the DoD yields a minimum estimate of erosion (E) within the contributing area. The division of SY by E yields (a maximum estimate of) the sediment delivery ratio (SDR), that is the proportion of material eroded within the contributing area of each cell that has been exported from that area. The resulting SDR is a spatially distributed measure of functional sediment connectivity. In this letter, we develop the computationally simple approach by means of an example DoD from a lateral moraine section in the Upper Kaunertal Valley, Austrian Central Alps. We also discuss advantages, assumptions and limitations, and outline potential applications to connectivity research using field-, laboratory-, and model-based DoD.

Weitere Angaben

Publikationsform:Artikel
Institutionen der Universität:Mathematisch-Geographische Fakultät > Geographie > Lehrstuhl für Physische Geographie
DOI / URN / ID:10.1002/esp.4334
Open Access: Freie Zugänglichkeit des Volltexts?:Nein
Peer-Review-Journal:Ja
Titel an der KU entstanden:Ja
Eingestellt am:16. Jan 2018 15:04
Letzte Änderung:07. Feb 2019 15:03
URL zu dieser Anzeige:http://edoc.ku-eichstaett.de/21052/